Client-local memory -> shared context infrastructure

Context is shifting from private memory inside one AI client into a governed layer between agents, IDEs, documents, and tools.

Tectonic shift

  • Before: Each AI client keeps its own incomplete project memory
  • After: Shared context layer with provenance, governance, and portability
  • Current stage: emerging

Source ledger

Publishable sources attached to this record.

2 public sources
#SourceRolePublic status
1unabyss.comsourceprimary receiptsource_urls
2producthunt.comsourcesupporting receiptsource_urls

When Claude, Codex, Cursor, and other clients work on the same project, the human often becomes the manual sync layer. This shift captures another option: context lives as standalone infrastructure, and clients connect to it with different permissions.

Evidence

Unabyss shows an early product signal: the context layer can move outside a single client and be connected through an MCP-compatible surface.

Risk

A shared context layer amplifies both usefulness and risk. The GhostWriter piece shows the other side of persistent memory: if memory can be poisoned, it cannot be treated as an ordinary prompt dump.